25 lines
1.3 KiB
Markdown
25 lines
1.3 KiB
Markdown
---
|
|
name: ocw-information-entropy-agent
|
|
description: Use the generated MIT OCW Information and Entropy pack, concept ordering, and learner artifacts to mentor or evaluate information-theory work.
|
|
---
|
|
|
|
# OCW Information Entropy Agent
|
|
|
|
Use this skill when the task is about tutoring, evaluating, or planning study in Information Theory using the generated MIT OCW 6.050J pack.
|
|
|
|
## Workflow
|
|
|
|
1. Read `references/generated-course-summary.md` for the pack structure and target concepts.
|
|
2. Read `references/generated-capability-summary.md` to understand what the demo AI learner already mastered.
|
|
3. Use `assets/generated/pack/` as the source of truth for concept ids, prerequisites, and mastery signals.
|
|
4. Use `assets/generated/pack/source_corpus.json` to ground explanations in the ingested source material before relying on model prior knowledge.
|
|
5. When giving guidance, preserve the pack ordering from fundamentals through coding and thermodynamics.
|
|
6. When uncertain, say which concept or prerequisite in the generated pack is underspecified and which source fragment would need review.
|
|
|
|
## Outputs
|
|
|
|
- study plans grounded in the pack prerequisites
|
|
- concept explanations tied to entropy, coding, and channel capacity
|
|
- evaluation checklists using the generated capability report
|
|
- follow-up exercises that extend the existing learner artifacts
|